Evacuation simulation is a computational modeling approach used to replicate and predict the movement of large groups of people during emergency egress scenarios, typically employing agent-based or force-based models where individual pedestrians follow defined behavioral and physical rules. It matters for the field because it provides a controlled, scalable means of generating crowd dynamics data and testing forecasting or data-assimilation methods when real-world evacuation observations are scarce or difficult to obtain safely. Key variants include microscopic simulations that model each agent individually with interaction forces, mesoscopic approaches that abstract individual behavior into flow-level representations, and data-driven hybrid methods that incorporate empirical observations to calibrate and validate simulated crowd behavior.
Source Papers
- A crowd team evacuation model considering spring effect ↗ — A crowd team evacuation model considering spring effect
- A hybrid mesoscopic/agent-based model for crowd dynamics with emotional contagion ↗ — A hybrid mesoscopic/agent-based model for crowd dynamics wit
- Crowd flow forecasting via agent-based simulations with sequential latent parameter estimation from aggregate observation ↗ — Crowd flow forecasting via agent-based simulations with sequ
- Data-driven Crowd Modeling Techniques: A Survey ↗ — Data-driven Crowd Modeling Techniques: A Survey
- Modelling physical contacts to evaluate the individual risk in a dense crowd ↗ — Modelling physical contacts to evaluate the individual risk
- Social force models for pedestrian traffic – state of the art ↗ — Social force models for pedestrian traffic – state of the ar
- Vadere: An Open-Source Simulation Framework to Promote Interdisciplinary Understanding ↗ — Vadere: An Open-Source Simulation Framework to Promote Inter